• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一项荟萃分析:粗糙度和呼吸声的声学测量

A Meta-Analysis: Acoustic Measurement of Roughness and Breathiness.

作者信息

V Latoszek Ben Barsties, Maryn Youri, Gerrits Ellen, De Bodt Marc

机构信息

Faculty of Medicine and Health Sciences, University of Antwerp, Belgium.

Institute of Health Studies, HAN University of Applied Sciences, Nijmegen, the Netherlands.

出版信息

J Speech Lang Hear Res. 2018 Feb 15;61(2):298-323. doi: 10.1044/2017_JSLHR-S-16-0188.

DOI:10.1044/2017_JSLHR-S-16-0188
PMID:29392295
Abstract

PURPOSE

Over the last 5 decades, many acoustic measures have been created to measure roughness and breathiness. The aim of this study is to present a meta-analysis of correlation coefficients (r) between auditory-perceptual judgment of roughness and breathiness and various acoustic measures in both sustained vowels and continuous speech.

METHOD

Scientific literature reporting perceptual-acoustic correlations on roughness and breathiness were sought in 28 databases. Weighted average correlation coefficients (rw) were calculated when multiple r-values were available for a specific acoustic marker. An rw ≥ .60 was the threshold for an acoustic measure to be considered acceptable.

RESULTS

From 103 studies of roughness and 107 studies of breathiness that were investigated, only 33 studies and 34 studies, respectively, met the inclusion criteria of the meta-analysis on sustained vowels. Eighty-six acoustic measures were identified for roughness and 85 acoustic measures for breathiness on sustained vowels, in which 43 and 39 measures, respectively, yielded multiple r-values. Finally, only 14 measures for roughness and 12 measures for breathiness produced rw ≥ .60. On continuous speech, 4 measures for roughness and 21 measures for breathiness were identified, yielding 3 and 6 measures, respectively, with multiple r-values in which only 1 and 2, respectively, had rw ≥ .60.

CONCLUSION

This meta-analysis showed that only a few acoustic parameters were determined as the best estimators for roughness and breathiness.

摘要

目的

在过去50年里,人们创造了许多声学测量方法来测量粗糙度和气息声。本研究的目的是对持续元音和连续语音中粗糙度和气息声的听觉感知判断与各种声学测量之间的相关系数(r)进行荟萃分析。

方法

在28个数据库中搜索报告粗糙度和气息声感知-声学相关性的科学文献。当一个特定声学标记有多个r值时,计算加权平均相关系数(rw)。rw≥0.60是一种声学测量被认为可接受的阈值。

结果

在调查的103项粗糙度研究和107项气息声研究中,分别只有33项研究和34项研究符合持续元音荟萃分析的纳入标准。在持续元音上,确定了86种粗糙度声学测量方法和85种气息声声学测量方法,其中分别有43种和39种测量方法产生了多个r值。最后,只有14种粗糙度测量方法和12种气息声测量方法的rw≥0.60。在连续语音中,确定了4种粗糙度测量方法和21种气息声测量方法,分别产生了3种和6种有多个r值的测量方法,其中分别只有1种和2种测量方法的rw≥0.60。

结论

这项荟萃分析表明,只有少数声学参数被确定为粗糙度和气息声的最佳估计指标。

相似文献

1
A Meta-Analysis: Acoustic Measurement of Roughness and Breathiness.一项荟萃分析:粗糙度和呼吸声的声学测量
J Speech Lang Hear Res. 2018 Feb 15;61(2):298-323. doi: 10.1044/2017_JSLHR-S-16-0188.
2
Vocal Characteristics of Elderly Women Engaged in Aerobics in Private Institutions of Salvador, Bahia.巴伊亚州萨尔瓦多私立机构中从事有氧运动的老年女性的嗓音特征
J Voice. 2016 Jan;30(1):127.e9-19. doi: 10.1016/j.jvoice.2015.02.005. Epub 2015 Mar 18.
3
The Exploration of an Objective Model for Roughness With Several Acoustic Markers.基于多个声学标记的粗糙度客观模型探索
J Voice. 2018 Mar;32(2):149-161. doi: 10.1016/j.jvoice.2017.04.017. Epub 2017 May 29.
4
Perceptual and Quantitative Assessment of Dysphonia Across Vowel Categories.在不同元音类别下的嗓音障碍的感知和定量评估。
J Voice. 2019 Jul;33(4):473-481. doi: 10.1016/j.jvoice.2017.12.018. Epub 2018 May 24.
5
The Acoustic Breathiness Index (ABI): A Multivariate Acoustic Model for Breathiness.声学呼吸音指数(ABI):一种用于呼吸音的多变量声学模型。
J Voice. 2017 Jul;31(4):511.e11-511.e27. doi: 10.1016/j.jvoice.2016.11.017. Epub 2017 Jan 10.
6
Acoustic measurement of overall voice quality: a meta-analysis.嗓音整体质量的声学测量:荟萃分析。
J Acoust Soc Am. 2009 Nov;126(5):2619-34. doi: 10.1121/1.3224706.
7
Validation of the Acoustic Voice Quality Index Version 03.01 and Acoustic Breathiness Index in German.德语版声学嗓音质量指数 03.01 版和声学粗糙声指数的验证。
J Voice. 2020 Jan;34(1):157.e17-157.e25. doi: 10.1016/j.jvoice.2018.07.026. Epub 2018 Sep 12.
8
Cepstral analysis of hypokinetic and ataxic voices: correlations with perceptual and other acoustic measures.运动减退性和共济失调性嗓音的谐波倒谱分析:与感知及其他声学指标的相关性
J Voice. 2014 Nov;28(6):673-80. doi: 10.1016/j.jvoice.2014.01.013. Epub 2014 May 16.
9
Collinearity and Sample Coverage Issues in the Objective Measurement of Vocal Quality: The Case of Roughness and Breathiness.嗓音质量客观测量中的共线性和样本覆盖问题:以粗糙度和呼吸声为例
J Speech Lang Hear Res. 2018 Jan 22;61(1):1-24. doi: 10.1044/2017_JSLHR-S-17-0136.
10
Validation of the Acoustic Voice Quality Index Version 03.01 and the Acoustic Breathiness Index in the Spanish language.西班牙语版声学嗓音质量指数03.01版及声学呼吸音指数的验证
Ann Otol Rhinol Laryngol. 2018 May;127(5):317-326. doi: 10.1177/0003489418761096. Epub 2018 Feb 28.

引用本文的文献

1
Acoustic Metrics of the Strain Dimension of Voice Quality: A Scoping Review.嗓音质量应变维度的声学指标:一项范围综述。
J Voice. 2025 Sep 3. doi: 10.1016/j.jvoice.2025.08.018.
2
A multivariate model incorporating subharmonic measurements for evaluating vocal roughness.一种纳入亚谐波测量以评估嗓音粗糙度的多变量模型。
NPJ Digit Med. 2025 May 20;8(1):295. doi: 10.1038/s41746-025-01702-2.
3
Acoustic estimation of voice roughness.嗓音粗糙度的声学评估。
Atten Percept Psychophys. 2025 Apr 28. doi: 10.3758/s13414-025-03060-3.
4
Effectiveness of rehabilitation training on radiotherapy-related abnormalities of voice function in head and neck cancer patients: A systematic review and meta-analysis.康复训练对头颈部癌患者放疗相关嗓音功能异常的有效性:一项系统评价和荟萃分析。
PLoS One. 2025 Mar 10;20(3):e0318577. doi: 10.1371/journal.pone.0318577. eCollection 2025.
5
Accuracy Analysis of the Multiparametric Acoustic Voice Indices, the VWI, AVQI, ABI, and DSI Measures, in Differentiating between Normal and Dysphonic Voices.多参数声学嗓音指标(VWI、AVQI、ABI和DSI测量值)在区分正常嗓音和发声障碍嗓音方面的准确性分析
J Clin Med. 2023 Dec 23;13(1):99. doi: 10.3390/jcm13010099.
6
Validation of the Acoustic Breathiness Index in Speakers of Finnish Language.芬兰语使用者中声学呼吸音质指数的验证
J Clin Med. 2023 Dec 10;12(24):7607. doi: 10.3390/jcm12247607.
7
Spectral and cepstral measurements in women with behavioral dysphonia.行为性发声障碍女性的频谱和倒谱测量。
Codas. 2023 Nov 10;36(1):e20220327. doi: 10.1590/2317-1782/20232022327pt. eCollection 2023.
8
VoxMore: technological artifact to assist voice acoustic evaluation in the teaching-learning process and clinical practice.VoxMore:一种技术工具,用于辅助语音声学评估在教学和临床实践中应用。
Codas. 2023 Oct 30;35(6):e20220166. doi: 10.1590/2317-1782/20232022166pt. eCollection 2023.
9
Effects of Vibratory Source on Auditory-Perceptual and Bio-Inspired Computational Measures of Pediatric Voice Quality.振动源对儿童嗓音质量的听觉感知及生物启发式计算指标的影响
J Voice. 2023 Sep 20. doi: 10.1016/j.jvoice.2023.08.016.
10
Interactions Between Breathy and Rough Voice Qualities and Their Contributions to Overall Dysphonia Severity.呼吸声和粗糙声质量之间的相互作用及其对整体嗓音障碍严重程度的贡献。
J Speech Lang Hear Res. 2022 Nov 17;65(11):4071-4084. doi: 10.1044/2022_JSLHR-22-00012. Epub 2022 Oct 19.